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Developing a Semi-Quantitative Occupational Risk Prediction Model for Chemical Exposures and Its Application to a National Chemical Exposure Databank
In this study, a semi-quantitative occupational chemical exposure risk prediction model, based on the calculation of exposure hazard indexes, was proposed, corrected, and applied to a national chemical exposure databank. The model comprises one factor used to describe toxicity (i.e., the toxicity in...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3774430/ https://www.ncbi.nlm.nih.gov/pubmed/23892550 http://dx.doi.org/10.3390/ijerph10083157 |
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author | Wang, Shih-Min Wu, Trong-Neng Juang, Yow-Jer Dai, Yu-Tung Tsai, Perng-Jy Chen, Chiu-Ying |
author_facet | Wang, Shih-Min Wu, Trong-Neng Juang, Yow-Jer Dai, Yu-Tung Tsai, Perng-Jy Chen, Chiu-Ying |
author_sort | Wang, Shih-Min |
collection | PubMed |
description | In this study, a semi-quantitative occupational chemical exposure risk prediction model, based on the calculation of exposure hazard indexes, was proposed, corrected, and applied to a national chemical exposure databank. The model comprises one factor used to describe toxicity (i.e., the toxicity index), and two factors used to reflect the exposure potential (i.e., the exposure index and protection deficiency index) of workers exposed to chemicals. An expert system was used to correct the above proposed model. By applying the corrected model to data obtained from a national occupational chemical hazard survey program, chemical exposure risks of various manufacturing industries were determined and a national control strategy for the abatement of occupational chemical exposures was proposed. The results of the present study would provide useful information for governmental agencies to allocate their limited resources effectively for reducing chemical exposures of workers. |
format | Online Article Text |
id | pubmed-3774430 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-37744302013-09-17 Developing a Semi-Quantitative Occupational Risk Prediction Model for Chemical Exposures and Its Application to a National Chemical Exposure Databank Wang, Shih-Min Wu, Trong-Neng Juang, Yow-Jer Dai, Yu-Tung Tsai, Perng-Jy Chen, Chiu-Ying Int J Environ Res Public Health Article In this study, a semi-quantitative occupational chemical exposure risk prediction model, based on the calculation of exposure hazard indexes, was proposed, corrected, and applied to a national chemical exposure databank. The model comprises one factor used to describe toxicity (i.e., the toxicity index), and two factors used to reflect the exposure potential (i.e., the exposure index and protection deficiency index) of workers exposed to chemicals. An expert system was used to correct the above proposed model. By applying the corrected model to data obtained from a national occupational chemical hazard survey program, chemical exposure risks of various manufacturing industries were determined and a national control strategy for the abatement of occupational chemical exposures was proposed. The results of the present study would provide useful information for governmental agencies to allocate their limited resources effectively for reducing chemical exposures of workers. MDPI 2013-07-25 2013-08 /pmc/articles/PMC3774430/ /pubmed/23892550 http://dx.doi.org/10.3390/ijerph10083157 Text en © 2013 by the authors; licensee MDPI, Basel, Switzerland. http://creativecommons.org/licenses/by/3.0/ This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Wang, Shih-Min Wu, Trong-Neng Juang, Yow-Jer Dai, Yu-Tung Tsai, Perng-Jy Chen, Chiu-Ying Developing a Semi-Quantitative Occupational Risk Prediction Model for Chemical Exposures and Its Application to a National Chemical Exposure Databank |
title | Developing a Semi-Quantitative Occupational Risk Prediction Model for Chemical Exposures and Its Application to a National Chemical Exposure Databank |
title_full | Developing a Semi-Quantitative Occupational Risk Prediction Model for Chemical Exposures and Its Application to a National Chemical Exposure Databank |
title_fullStr | Developing a Semi-Quantitative Occupational Risk Prediction Model for Chemical Exposures and Its Application to a National Chemical Exposure Databank |
title_full_unstemmed | Developing a Semi-Quantitative Occupational Risk Prediction Model for Chemical Exposures and Its Application to a National Chemical Exposure Databank |
title_short | Developing a Semi-Quantitative Occupational Risk Prediction Model for Chemical Exposures and Its Application to a National Chemical Exposure Databank |
title_sort | developing a semi-quantitative occupational risk prediction model for chemical exposures and its application to a national chemical exposure databank |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3774430/ https://www.ncbi.nlm.nih.gov/pubmed/23892550 http://dx.doi.org/10.3390/ijerph10083157 |
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